Context-Sensitive Kernel Functions: A Distance Function Viewpoint.
Bram VanschoenwinkelFeng LiuBernard ManderickPublished in: ICMLC (2005)
Keyphrases
- context sensitive
- distance function
- kernel function
- support vector
- kernel methods
- nearest neighbor
- similarity search
- feature space
- knn
- input space
- support vector machine
- euclidean distance
- high dimensional
- distance metric
- similarity function
- metric space
- distance measure
- data points
- natural language
- metric learning
- k nearest neighbor
- language model
- probability density function
- information retrieval
- machine learning
- high dimensional data
- feature set
- multi class
- feature selection
- neural network